A neural approach to robotic haptic recognition of 3-D objects based on a kohonen self-organizing feature map

被引：3

作者：

Faldella, E

Fringuelli, B

Passeri, D

Rosi, L

机构：

[1] Department of Electronics, Computer, and System Science, University of Bologna

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 1997年 / 44卷 / 02期

关键词：

haptic recognition; high-dexterity robotic hands; neural networks;

D O I：

10.1109/41.564167

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes a novel approach to robotic haptic recognition, which exploits an unsupervised Kohonen self-organizing feature map for performing a match-to-sample classification of three-dimensional (3-D) objects. The results obtained, even though currently referring to a simulated environment and to some working assumptions, have emphasized the validity of the approach and its applicability in a variety of dextrous robotic systems.

引用

页码：267 / 269

页数：3

共 25 条

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